ArticleDevelopmental cognitive neuroscience2026
ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.
Article in Developmental cognitive neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Supporting professional development in a multi-site consortium.Developmental cognitive neuroscience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ABCD-ReproNim is a research educational course that provides training in responsible and reproducible analyses of data from the Adolescent Brain Cognitive Development (ABCD) Study. ABCD-ReproNim was established in 2020 and structured as a collaborative partnership between ABCD investigators and ReproNim, a NIBIB-funded P41 center for reproducible neuroimaging whose vision is to help researchers achieve more reproducible data analysis workflows and outcomes. With over 1.1 K registered students and > 18 K YouTube views, ABCD-ReproNim has been well-received by the community and is providing ABCD data training while promoting skill development in reproducible analyses that support efficient, re-executable design and FAIR practices. Participants first receive didactic training across a semester-long online course that includes lectures, readings, and data exercises. We use an innovative curricular approach that is grounded in modern, transformational methods of STEM pedagogy, which includes philosophies and features drawn from active learning, inverted classrooms, and hack weeks. At the completion of the course, participants contribute to team-based, collaborative data analysis projects during an in-person hackathon at the host institution, Florida International University, in Miami, Florida. Through this research educational program, we provide (i) a comprehensive understanding of the ABCD dataset; (ii) instructional techniques that enhance the validity and reproducibility of research methods; (iii) support of interdisciplinary, team-based collaborations; and (iv) dissemination of the course, project materials, and research findings. Our overall goal is to contribute to the generation of a cadre of investigators that are well trained in the techniques that support responsible, reproducible, and valid analyses of ABCD data.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.